Most clubs have no idea. We built a two-minute calculator that shows you yours.
Answer seven questions. We'll show you the number. No email required.
The number of contacts - fans, ticket buyers, members - in your CRM, email list, or ticketing records. If you're not sure, choose the closest estimate.
The total number of seats or standing places available for a home fixture.
Your estimated average cost of all tickets combined. If you don't know, choose your Adult ticket price.
For example, abandoned cart, welcome journeys when fans sign up, birthday offers.
Based on your answers, this is how much revenue your fan base isn't generating each season - and could be. The right automations close most of it.
| Revenue Line | Estimated Annual Gap |
|---|---|
|
Abandoned transaction recovery
Industry research shows 65-70% of online ticket transactions are abandoned before completion. Automated recovery campaigns typically convert 3-5% of those back.
|
£0 |
|
Lapsed fan reactivation
Sports clubs running automated reactivation campaigns targeting fans who purchased in the last 3 years but not in the last 12 months consistently recover a meaningful share of that dormant base. We apply a 9% reactivation rate based on observed performance across European sports club deployments.
|
£0 |
|
Season ticket renewal uplift
Clubs running structured automated renewal sequences consistently outperform those without by 4-8 percentage points on renewal rate. We estimate your season ticket base at 15% of your active database and apply the uplift rate corresponding to your current renewal performance.
|
£0 |
|
Automated upsell and cross-sell
A European multi-club sports organisation tracked 16% of engaged fans converting to a follow-up purchase through automated post-match journeys. We apply this to 40% of your active purchasers with offer value at 25% of average ticket price.
|
£0 |
| Total estimated gap | £0 |
These gaps are closeable. All of them. With the right programmes running automatically in the background, most clubs recover a significant proportion of this figure within their first season. Most clubs see their first recovery within 30 days of switching on the right automations.
We can run this against your real data in a single conversation - no lengthy process, no obligation.
Your revenue gap estimate has been securely logged. Someone from the Club Growth Advisory team will be in touch within one working day to run the numbers against your actual data.
The SFL fully funded the digital transition of its member clubs, deploying Arenametrix across the league. By unifying their data ecosystem and activating marketing automation, participating clubs grew their contact databases by 16.6% within the first year while launching targeted, automated matchday campaigns.
Read the full case study →KRC Genk structured a unique data repository using Arenametrix to build a seamless digital fan journey. By unifying fan identities across their ticketing and merchandising channels, they gained a deeper understanding of their supporters, allowing for highly personalised campaigns and improved marketing performance.
Read the full case study →Working closely with C'mon Sports and Arenametrix, Groupe Grenat launched hyper-targeted Meta campaigns that specifically excluded existing fans. They successfully acquired over 130 new leads at just 0.04 CHF per lead, with an immediate 20% converting into retail and merchandising purchasers.
Read the full case study →Preparing for a stadium expansion, USL Dunkerque launched a social media prediction game to capture new fan data. The activation yielded over 1,000 entries, with 65% of participants opting into ticketing communications. This single campaign successfully grew the club's actionable CRM database by 15%.
Read the full case study →SC Bastia partnered with Arenametrix to consolidate their ticketing and fan data into a single CRM ecosystem. By launching targeted email and SMS campaigns, the club significantly expanded its fully opt-in database and successfully accelerated matchday ticket sales throughout the season.
Read the full case study →